Tampa Third-Party Delivery Apps

Goals

To know third party restaurant delivery apps in Tampa, Florida from both the consumer and restaurant's perspective, including market share, active user base, fees, and reviews.

Early Findings

During our preliminary research, we were able to identify four restaurant delivery apps that currently deliver in the Tampa, Florida area. For one of the apps, we were able to determine their market share, number of active users, user fees, an analysis of user reviews, restaurant fees, and an analysis of restaurant reviews. We have entered these findings into a spreadsheet as well.

UberEats

As of July 2018, UberEats holds 27.9% of the U.S. Food Delivery Services market.

Negative reviews focus on the inconsistency of the deliveries and accuracy of food orders.

The company charges restaurants a service fee in order to sell their food on the app. The service fee is a percentage of the restaurant's sales on UberEats.

Restaurant owners tend to say that UberEats charges them too much on their service fee.

Proprietary Research

In addition to this public search, we scanned our proprietary research database of over 1 million sources and were unable to find any specific research reports that address your goals.

Proposed next steps:

You need to be the project owner to select a next step.

While we were able to provide the requested information for one third-party restaurant delivery app in Tampa, Florida. We were unable to provide the information for the remainder of the apps we found.
Because of this, we suggest diving deeper with additional research to provide the market share, number of active users, user fees, an analysis of user reviews, restaurant fees, and an analysis of restaurant reviews for the remainder of the apps found in the preliminary research and place those into the spreadsheet mentioned above.
We also suggest finding an additional 4-6 third-party delivery apps that operate in Tampa, Florida and providing the market share, number of active users, user fees, an analysis of user reviews, restaurant fees, and an analysis of restaurant reviews for each of them and place those into the spreadsheet mentioned above as well.

Alternatively, we can:
1) Provide the market share, number of active users, user fees, an analysis of user reviews, restaurant fees, and an analysis of restaurant reviews for the remainder of the apps found during our preliminary research and place those into the spreadsheet mentioned above.
2) Find an additional 2-3 third-party delivery apps that operate in Tampa, Florida and providing the market share, number of active users, user fees, an analysis of user reviews, restaurant fees, and an analysis of restaurant reviews for each of them and place those into the spreadsheet mentioned above as well.

Alternatively, we can focus solely on providing the market share, number of active users, user fees, an analysis of user reviews, restaurant fees, and an analysis of restaurant reviews for the remainder of the apps found in the preliminary research and place those into the spreadsheet mentioned above.